Signaling Pathways in the Pathogenesis of Barrett’s Esophagus and Esophageal Adenocarcinoma

Maslenkina, Ksenia S.; Mikhaleva, L.M.; Naumenko, Maxim; Vandysheva, Rositsa; Gushchin, Michail; Atyakshin, D. A.; Buchwalow, Igor; Tiemann, Markus

doi:10.3390/ijms24119304

Cited by 4 publications

(5 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We observed that the mosaic cell population was most abundant in EAC tumors (Fig.9b), which shared the same characteristics as Barrett’s esophagus (BE). This result was also consistent with a previous study that revealed EAC occurred predominantly in the lower esophagus near the gastroesophageal junction and was associated with BE [40,49], indicating the mosaic cell population plays an important role in the progression to esophageal cancer.…”

Section: Resultssupporting

confidence: 93%

“…9b), which shared the same characteristics as Barrett's esophagus (BE). This result was also consistent with a previous study that revealed EAC occurred predominantly in the lower esophagus near the gastroesophageal junction and was associated with BE [40,49], indicating the mosaic cell population plays an important role in the progression to esophageal cancer. Furthermore, we observed significantly higher gastric and intestinal columnar cells in EAC tumors than ESCC tumors (Fig.…”

Section: Application Of Cssingle To Esophageal Carcinomasupporting

confidence: 93%

See 1 more Smart Citation

Leveraging cross-source heterogeneity to improve the performance of bulk gene expression deconvolution

Shen,

Liu,

et al. 2024

Preprint

View full text Add to dashboard Cite

A main limitation of bulk transcriptomic technologies is that individual measurements normally contain contributions from multiple cell populations, impeding the identification of cellular heterogeneity within diseased tissues. To extract cellular insights from existing large cohorts of bulk transcriptomic data, we present CSsingle, a novel method designed to accurately deconvolve bulk data into a predefined set of cell types using a scRNA-seq reference. Through comprehensive benchmark evaluations and analyses using diverse real data sets, we reveal the systematic bias inherent in existing methods, stemming from differences in cell size or library size. Our extensive experiments demonstrate that CSsingle exhibits superior accuracy and robustness compared to leading methods, particularly when dealing with bulk mixtures originating from cell types of markedly different cell sizes, as well as when handling bulk and single-cell reference data obtained from diverse sources. Our work provides an efficient and robust methodology for the integrated analysis of bulk and scRNA-seq data, facilitating various biological and clinical studies.

show abstract

Section: Resultssupporting

confidence: 93%

Section: Application Of Cssingle To Esophageal Carcinomasupporting

confidence: 93%

Leveraging cross-source heterogeneity to improve the performance of bulk gene expression deconvolution

Shen,

Liu,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Pathologically, BE is characterized by the phenotypic shift of esophageal epidermal cells toward intestinal differentiation. Several molecular changes in the basal esophageal keratinocytes, such as ectopic expression of CDX2 and activation of CDX2-related signaling pathways, were identified to be associated with BE and EAC development [ 35 , 36 ]. Therefore, it could be implied that impairment of keratinocyte-related functions contributed to both EAC and BE.…”

Section: Discussionmentioning

confidence: 99%

Decoding common genetic alterations between Barrett's esophagus and esophageal adenocarcinoma: A bioinformatics analysis

Jalali,

Yaghoobi,

Rezaee

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…Combining the information on GPER1 RNA expression from the Oncomine database in Barrett’s esophagus, we proposed that GPER1 might be correlated with the pathogenic initiation of EAC. Barrett’s esophagus is a precancerous lesion of EAC and is commonly observed in men [ 36 , 37 , 38 ]. Whether the high expression of GPER1 in Barrett’s esophagus contributes to the transfer of precancerous lesions to malignancy is not currently well known.…”

Section: Discussionmentioning

confidence: 99%

Different Expression Pattern of G Protein-Coupled Estrogen Receptor GPER1 in Esophageal Squamous Cell Carcinoma and Adenocarcinoma

Liu,

Niu,

Zhang

et al. 2023

IJMS

View full text Add to dashboard Cite

Esophageal carcinoma is a male-dominant malignancy worldwide, and esophageal adenocarcinoma (EAC) shows more significant sex bias than esophageal squamous cell carcinoma (ESCC) in morbidity and mortality. The G protein-coupled estrogen receptor 1 (GPER1) is involved in several sex-related cancers; however, its expression level in esophageal carcinoma has been poorly investigated and its role is not precisely defined, depending on histological types. In the present study, the mRNA levels of GPER1 in esophageal carcinoma were collected from GEPIA and Oncomine databases for meta-analyses. The protein expression levels of GPER1 were detected by immunohistochemistry in the tissue microarray of EAC and ESCC. The GPER1 selective agonist G1, antagonist G15, and siRNA were applied in vitro to investigate their impacts on esophageal cell lines. Analysis of the RNA levels from the databases showed a decreased expression of GPER1 in overall esophageal carcinoma, and low expression levels of GPER1 were found to be associated with low survival of tumor patients. However, in the subgroup of EAC and its precancerous lesion, Barrett’s esophagus, overexpression of GPER1 RNA was increased when compared with the normal tissues. The average staining scores of GPER1 protein in the tissue microarray of EAC were significantly higher than normal esophageal samples, and the rate of positive staining increased with the grade of poor tumor differentiation. The scores of GPER1 protein in ESCC tissues were lower than those in the normal tissues. The results from cell line experiments in vitro showed that the GPER1 agonist G1 inhibited proliferation and promoted apoptosis of ESCC cells EC109 with positive expression of GPER1. G1 had no obvious effect on normal esophageal NE2 cells with weak expression of GPER1. In addition, GPER1 RNA knockdown and application of antagonist G15 reversed the effects of G1 on EC109. The results of this study indicate that the expression levels of GPER1 are higher in EAC than in ESCC, which might be correlated with the dimorphic estrogen signaling pathway in different types of esophageal carcinoma.

show abstract

Signaling Pathways in the Pathogenesis of Barrett’s Esophagus and Esophageal Adenocarcinoma

Cited by 4 publications

References 111 publications

Leveraging cross-source heterogeneity to improve the performance of bulk gene expression deconvolution

Leveraging cross-source heterogeneity to improve the performance of bulk gene expression deconvolution

Decoding common genetic alterations between Barrett's esophagus and esophageal adenocarcinoma: A bioinformatics analysis

Different Expression Pattern of G Protein-Coupled Estrogen Receptor GPER1 in Esophageal Squamous Cell Carcinoma and Adenocarcinoma

Contact Info

Product

Resources

About